Search
Now showing items 11-20 of 57
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
(
Springer
, 2017 , Article)
Deployment of network function virtualization (NFV) over multiple clouds accentuates its advantages such as flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ...
Actuator fault detection and isolation of differential drive mobile robots using multiple model algorithm
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
An actuator fault detection and isolation (FDI) scheme is proposed in this paper for differential drive mobile robots based on the concept of multiple model approach. The nonlinear kinematic model of the mobile robot is ...
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ...
Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers
(
International Institute of Acoustics and Vibrations
, 2016 , Conference Paper)
This paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation ...
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
(
Academic Press
, 2016 , Article)
In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ...
Event-triggered fault detection for discrete-time linear multi-agent systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper studies the design and development of event-triggered fault detection (FD) filters for discrete-time linear multi-agent systems. For each agent, an FD filter is designed that receives the output measurements ...
Fault tolerant tactile sensor arrays for prosthesis
(
IEEE Computer Society
, 2016 , Conference Paper)
The demand for sensor networks has grown significantly over the last decade. These networks operate as a single unit, accumulating information from individual sensor nodes. Due to a matrix-like topology of these arrays, a ...
An Agreement Based Dynamic Routing Method for Fault Diagnosis in Power Network with Enhanced Noise Immunity
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The stable operation of a power system often depends on inscribing the faults that may arise when transmitting and distributing electrical power. Characterizing these faults is necessary to analyze the post-fault oscillography ...
A Greedy Layer-Wise Learning Algorithm for Open-Circuit Fault Diagnosis of Grid-Connected Inverters
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
This paper introduces a greedy layer-wise learning algorithm to diagnose open-circuit faults of grid-connected inverters. Inverters play important roles in energy conversion, especially when converting direct current to ...
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ...